Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests

We construct four new exact level (size) alpha tests for testing the equality of k distributions, which can be conveniently used in high dimensional low sample size setup based on clustering. These tests are easy to implement and distribution-free. Under mild conditions, we have proved the consistency of these tests as the dimension d of each observation grows to infinity, whereas the sample size remains fixed. We also apply step-down-procedure (1979) for multiple testing. Details are in Biplab Paul, Shyamal K De and Anil K Ghosh (2020); Soham Sarkar and Anil K Ghosh (2019) ; William M Rand (1971) ; Cyrus R Mehta and Nitin R Patel (1983) ; Joseph C Dunn (1973) ; Sture Holm (1979) .


Reference manual

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1.0.1 by Biplab Paul, 2 months ago

Browse source code at https://github.com/cran/HDLSSkST

Authors: Biplab Paul [aut, cre] , Shyamal K. De [aut] , Anil K. Ghosh [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, stats, utils

Linking to Rcpp

See at CRAN